Instructions to use silvermoong/Qwen-Image-Sharp-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silvermoong/Qwen-Image-Sharp-VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("silvermoong/Qwen-Image-Sharp-VAE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download images/strength_06_multi.png from silvermoong/Qwen-Image-Sharp-VAE: direct link, hf CLI and curl.
- Browser
- Download file 3.16 MB
-
https://huggingface.co/silvermoong/Qwen-Image-Sharp-VAE/resolve/main/images/strength_06_multi.png
- Command line
-
hf download hf://silvermoong/Qwen-Image-Sharp-VAE/images/strength_06_multi.png
-
curl -L -o strength_06_multi.png https://huggingface.co/silvermoong/Qwen-Image-Sharp-VAE/resolve/main/images/strength_06_multi.png
3.16 MB

- Xet hash:
- 2c0725ec04a7ddeed8d8e060555e58de491d232cdd5c48150ecabf4482785273
- Size of remote file:
- 3.16 MB
- SHA256:
- 63f8f1daf17643143dbbb3351d32d866eb58fd317fc9fbf5304460dbc99842b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.